Age-related Macular Degeneration Detection through Fundus Image Analysis Using Image Processing Techniques

2019 ◽  
Author(s):  
Joel C. De Goma ◽  
Oscar Jensen D. Binsol ◽  
Alexander Michael T. Nadado ◽  
Jose Peter A. Casela
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Macular Degeneration ◽  
Age Related Macular Degeneration ◽  
Fundus Image ◽  
Image Processing Techniques ◽  
Age Related ◽  
Processing Techniques

Image processing techniques used for dental x-ray image analysis

2008 ◽  
Author(s):  
Stefan Oprea ◽  
Costin Marinescu ◽  
Ioan Lita ◽  
Mariana Jurianu ◽  
Daniel Alexandru Visan ◽  
...  
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
X Ray ◽  
Image Processing Techniques ◽  
Processing Techniques

scholarly journals IDENTIFICATION OF MEGALOBLASTIC ANEMIA CELLS THROUGH THE USE OF IMAGE PROCESSING TECHNIQUES

2018 ◽  
Vol 4 (3) ◽  
pp. 1-5 ◽  
Author(s):  
Asaad Babker ◽  
Vyacheslav Lyashenko
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Blood Smear ◽  
Color Image ◽  
Megaloblastic Anemia ◽  
Cell Structure ◽  
Color Space ◽  
Image Processing Techniques ◽  
Processing Techniques ◽  
Blood Smear Image

Objective: Our aim is to show the possibility of using different image processing techniques for blood smear analysis. Also our aim is to determine the sequence of image processing techniques to identify megaloblastic anemia cells. Methods: We consider blood smear image. We use a variety of image processing techniques to identify megaloblastic anemia cells. Among these methods, we distinguish the modification of the color space and the use of wavelets. Results: We developed a sequence of image processing techniques for blood smear image analysis and megaloblastic anemia cells identification. As a characteristic feature for megaloblastic anemia cells identification, we consider neutrophil image structure. We also use the morphological methods of image analysis in order to reveal the nuclear lobes in neutrophil structure. Conclusion: We can identify the megaloblastic anemia cells. To do this, we use the following sequence of blood smear image processing: color image modification, change of the image contrast, use of wavelets and morphological analysis of the cell structure. 

Automated method for the detection and segmentation of drusen in colour fundus image for the diagnosis of age-related macular degeneration

2018 ◽  
Vol 12 (6) ◽  
pp. 919-927 ◽  
Author(s):  
Sultan Mohammad Mohaimin ◽  
Sajib Kumar Saha ◽  
Alve Mahamud Khan ◽  
Abu Shamim Mohammad Arif ◽  
Yogesan Kanagasingam
Keyword(s):  
Macular Degeneration ◽  
Age Related Macular Degeneration ◽  
Fundus Image ◽  
Automated Method ◽  
Age Related
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